Workshop in Probability and Statistics by Udemy
This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.
Course Highlights
- By the end of this workshop you should be able to pass any introductory statistics course
- This workshop will teach you probability, sampling, regression, and decision analysis
Skills you will learn!
Curriculum
17 Topics
Fundamentals of Probability
Comprehension Check 1.1
Events and Complements
Comprehension Check 1.2
And (Intersection)
Comprehension Check 1.3
Or (Union)
Comprehension Check 1.4
Population vs. Sample
Measures of Central Tendency
Comprehension Check 1.5
Variance & Standard Deviation
Comprehension Check 1.6
Expected Value Introduction
Comprehension Check 1.7
Problem Set 1
Problem Set 1 Walkthrough
10 Topics
Compound Probability and Independent Events
Comprehension Check 2.1
Conditional Probability I
Comprehension Check 2.2
Conditional Probability II
Comprehension Check 2.3
Joint and Marginal Probabilities
Comprehension Check 2.4
Problem Set 2
Problem Set 2 Walkthrough
10 Topics
Permutations and Combinations
Bayes' Theorem
Comprehension Check 3.1
Conditional Probability Challenge Question
Random Variables and Probability Distributions
Comprehension Check 3.2
Expected Value
Comprehension Check 3.3
Problem Set 3
Problem Set 3 Walkthrough
7 Topics
Binomial Distributions
Comprehension Check 4.1
Functions of Random Variables
Comprehension Check 4.2
Graphing Probability Distributions
Problem Set 4
Problem Set 4 Walkthrough
8 Topics
The Normal Distribution
Comprehension Check 5.1
Z-Scores
Comprehension Check 5.2
Z-Score and Normal Distribution Examples
Comprehension Check 5.3
Problem Set 5
Problem Set 5 Walkthrough
9 Topics
Confidence Intervals
Comprehension Check 6.1
Covariance and Correlation of Joint Random Variables
Comprehension Check 6.2
Portfolio Analysis
Comprehension Check 6.3
Variance in Joint Random Variables Example
Problem Set 6
Problem Set 6 Walkthrough
11 Topics
Sampling
Sampling Distributions
Comprehension Check 7.1
Proportion Sampling
Comprehension Check 7.2
t-Distributions
Comprehension Check 7.3
Sampling and Confidence Intervals Examples
Comprehension Check 7.4
Problem Set 7
Problem Set 7 Walkthrough
4 Topics
Hypothesis Testing
Comprehension Check 8.1
Problem Set 8
Problem Set 8 Walkthrough
7 Topics
Simple Linear Regression
Analyzing Regression Output
Additional Regression Concepts
Prediction and Confidence Intervals in Regression
Regression Assumptions
Problem Set 9
Problem Set 9 Walkthrough
7 Topics
Multiple Regression (32:23)
Dummy and Time-Lagged Variables
Transformations
Multiple Regression Case Study
Analysis of Variance (ANOVA)
Problem Set 10
Problem Set 10 Walkthrough
5 Topics
Decision Analysis I: Decision Trees
Decision Analysis II: The Value of Information
Problem Set 11
Problem Set 11 Walkthrough
Concluding Lecture
6 Topics
Summary Assessment
Summary Assessment Walkthrough Qs 1-4
Summary Assessment Walkthrough Qs 5-8
Summary Assessment Walkthrough Qs 9-12
Summary Assessment Walkthrough Qs 13-16
Summary Assessment Walkthrough Qs 17-20
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